IF 2014

Published: 2015-07-27

Association between SLC30A8 rs13266634 Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis

Liqing Cheng, Dongmei Zhang, Lina Zhou, Jie Zhao, Bing Chen

(Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland))

Med Sci Monit 2015; 21:2178-2189

DOI: 10.12659/MSM.894052

BACKGROUND: Accumulating but inconsistent data about the role of rs13266634 variant of SLC30A8 in type 2 diabetes have been reported, partly due to small sample sizes and non-identical ethnicity.
MATERIAL AND METHODS: We searched PubMed and Cochrane Library to identify eligible studies and extract data of baseline characteristics, genotype count, odds ratio (OR), and 95% confidence interval (CI). Both adjusted OR with 95% CI and genotype counts were employed to assess the association. Genotype data were further pooled to provide estimates under different genetic models and the most appropriate model was determined. Sensitivity and cumulative analysis were conducted to assure the strength of results.
RESULTS: Fifty-five datasets of 39 studies (including 38 of 24 with genotype count) were included. Significant associations were found in allelic contrasts using adjusted ORs and raw genotype count, respectively, overall in Asian and European populations (overall: OR=1.147/1.157, 95% CI 1.114–1.181/1.135–1.180; Asian: OR=1.186/1.165, 95% CI 1.150–1.222/1.132–1.198; European: OR=1.100/1.151, 95% CI 1.049–1.153/1.120–1.183; All p=0.00), but not in African populations (African: OR=1.255/1.111, 95% CI 0.964–1.634/0.908–1.360, p=0.091/0.305). Further analysis with genotype count under different genetic models all showed that individuals with CC genotype had 33.0% and 16.5% higher risk of type 2 diabetes than those carrying TT and CT genotypes, respectively, under the most likely codominant model. Cumulative analysis indicated gradually improved precision of estimation after studies accumulated.
CONCLUSIONS: Our results suggest... read more

Keywords: Diabetes Mellitus, Type 2, meta-analysis, Polymorphism, Genetic

Published: 2015-07-27

Evaluation of Vibration Response Imaging (VRI) Technique and Difference in VRI Indices Among Non-Smokers,...

Hongying Jiang, Jichao Chen, Jinying Cao, Lan Mu, Zhenyu Hu, Jian He

Med Sci Monit 2015; 21:2170-2177

DOI: 10.12659/MSM.894335

Published: 2015-07-26

Impact of Community-Based Integrated Traditional Chinese and Western Medicine Metabolic Syndrome Interven...

Yuqing Wang, Bo Xie, Yanghong Tao, Yonghua Ma, Kaijin Zhang

Med Sci Monit 2015; 21:2163-2169

DOI: 10.12659/MSM.893972